Computer vision coupled with geo-spacial analytics simplifies property assessment, risk analysis, post damage assessment and employee safety. Using Clarifai’s image recognition, reduce the time and cost for assessing and underwriting claims. Ultimately improving the collaboration between agents and customers for a better customer experience.
Use computer vision to recognize and analyze the extent and location of damage to a vehicle to determine the correct insurance claims amount. Reduce the time it takes for customers to receive their payouts and avoids claims leakage, saving insurers money.
Use computer vision and satellite imagery to detect presence of pools, trampolines, flood lines and upgrades that affect property values. Identify and classify roof types, parking lots and facades and signage. Better manage risk and for personal and commercial businesses applying for reinsurance.
Analyze text from applications, social media, online news sites, medical and police records to locate any red flags that would impact the final claim evaluation. Evaluate data as a whole to observe trends and spot individual and group fraud.
Manage risk and reduce costs using computer vision to aid in processing damage assessment. Use aerial imagery and geospatial applications to assess property damage throughout the evacuated areas. Identify homes that have been completely destroyed or even partially damaged. Prevent fraudulent claims of damaged property from weather-related events.
Use NLP to recognize the intent within text data to respond to questions from customers. Improve customer service and provide better buying experiences. Take into account various forms of language that relate to various topics. Identify multiple sentiments and events within one customer service call.
Gather valuable business insights from images, data and text using machine learning, image recognition and computer vision.
Assign tags or concepts to analyze text based on its content. Build models for topic and sentiment analysis and smart reply.
Detect toxic, racist, obscene or threatening language or build your own custom moderation model.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space.
Recognize textures and patterns in a two-dimensional image e.g., feathers, woodgrain, petrified wood, glacial ice and overarching descriptive concepts (veined, metallic).
Identify different levels of nudity in your visual data. Ideal for moderating and filtering offensive content from your platform.
Identify unwanted content such as gore, drugs, explicit nudity or suggestive nudity.
Explore our pre-built, ready-to-use image recognition models to suit your specific needs.